Title :
Multi-feature based medical image retrieval
Author_Institution :
Inf. Sch., Linyi Univ., Linyi, China
Abstract :
With the rapid development of medical imaging technologies, images, and especially digital images, are produced in ever-increasing quantities and more and more important in diagnostics and therapy. This article proposes a retrieval methodology based on multi-feature for CT images of chest scan. Experiments on 1000 CT images of chest scan demonstrate that retrieval based on multi-feature together with proper feedback can get better performance than on single feature.
Keywords :
computerised tomography; feature extraction; image retrieval; medical image processing; CT images; chest scan; computed tomography; medical imaging technologies; multifeature based medical image retrieval; Artificial intelligence; Biomedical imaging; Feature extraction; Manganese; Shape; TV; CBIR; NMI; precision rate;
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
DOI :
10.1109/EEESym.2012.6258708